Extract, Clean and Normalize Procurement Data -- 2

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 20 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation.


Deliverables are:
• output.xlsx: one row per procurement item and candidate supplier match;
• output.json: a machine-readable version of the same data;
• run.py, notebook.ipynb, or equivalent reproducible workflow, when automation is used. (You are free to do it manually or by automation);
• README.md: tools, assumptions, source-use rules, match criteria, and reproduction steps.


Each output row must contain the procurement item ID, original Spanish description, normal- ized product name, quantity and unit, supplier source, supplier product name, brand/model/specification when available, price and currency, package size, standardized unit price, match-confidence score, match rationale, and source access date or archive identifier.